Multi-model SAR image despeckling

被引:0
|
作者
Wang, C [1 ]
Wang, RS [1 ]
机构
[1] Natl Univ Def Technol, ATR Lab, Sch Elect Sci & Engn, Changsha, Peoples R China
关键词
D O I
10.1049/el:20020994
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
A multi-model despeckling approach for SAR image is presented. The chi-squared test is used to segment the image into homogeneous and heterogeneous regions. Then, the heterogeneous regions are separated into subregions, each of which consists of the points with same edge orientations. Homogeneous regions and the separated subregions are despeckled according to their characteristics. Experimental results are reported.
引用
收藏
页码:1425 / 1426
页数:2
相关论文
共 50 条
  • [41] SAR-DRDNet: A SAR image despeckling network with detail recovery
    Wu, Wenfu
    Huang, Xiao
    Shao, Zhenfeng
    Teng, Jiahua
    Li, Deren
    NEUROCOMPUTING, 2022, 493 : 253 - 267
  • [42] CycleSAR: SAR Image Despeckling as Unpaired Image-to-Image Translation
    Lattari, Francesco
    Santomarco, Vincenzo
    Santambrogio, Riccardo
    Rucci, Alessio
    Matteucci, Matteo
    2023 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, IJCNN, 2023,
  • [43] SAR-DRDNet: A SAR image despeckling network with detail recovery
    Wu, Wenfu
    Huang, Xiao
    Shao, Zhenfeng
    Teng, Jiahua
    Li, Deren
    Neurocomputing, 2022, 493 : 253 - 267
  • [44] SAR Image Despeckling using Refined Lee Filter
    Yommy, Aiyeola Sikiru
    Liu, Rongke
    Wu, Shuang
    2015 7TH INTERNATIONAL CONFERENCE ON INTELLIGENT HUMAN-MACHINE SYSTEMS AND CYBERNETICS IHMSC 2015, VOL II, 2015,
  • [45] Collaborative Optimization for SAR Image Despeckling With Structure Preservation
    Yu, Jindong
    Pan, Baojing
    Yu, Ze
    Li, Chunsheng
    Wu, Xiaojun
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2025, 63
  • [46] SAR image despeckling and enhancement based on contourlet analysis
    Chen Jie
    Sun Jiyin
    Chen Biao
    Xu Suqin
    ISTM/2007: 7TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-7, CONFERENCE PROCEEDINGS, 2007, : 1371 - 1374
  • [47] Multi-model fused framework for image annotation
    Chen, Z. (jingzhang@ecust.edu.cn), 1600, Institute of Computing Technology (26):
  • [48] MULTI-MODEL PREDICTION FOR IMAGE SET COMPRESSION
    Shi, Zhongbo
    Sun, Xiaoyan
    Wu, Feng
    2013 IEEE INTERNATIONAL CONFERENCE ON VISUAL COMMUNICATIONS AND IMAGE PROCESSING (IEEE VCIP 2013), 2013,
  • [49] Multi-model neural network for image classification
    Machado, RJ
    Neves, PECSA
    II WORKSHOP ON CYBERNETIC VISION, PROCEEDINGS, 1997, : 57 - 59
  • [50] MULTITEMPORAL SAR IMAGE DESPECKLING BASED ON IMMSE FILTERING
    Yahia, Mohamed
    Ali, Tarig
    Mortula, Md Maruf
    El Mahdi, Samy
    Arampola, Nuwanthi Sashipraba
    2020 MEDITERRANEAN AND MIDDLE-EAST GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (M2GARSS), 2020, : 113 - 116